{"id":"W2154280685","doi":"10.1007/978-1-4614-7485-2_28","title":"Distribution of Information Processing While Performing Complex Cognitive Activities with Visualization Tools","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Visualization; Cognition; Information visualization; Information processing; Human–computer interaction; Cognitive science; Data science; Psychology; Cognitive psychology; Artificial intelligence; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723211,0.0002252299,0.0002541277,0.0001890606,0.0002092417,0.0004447705,0.0002703866,0.0001058364,0.0001508193],"category_scores_gemma":[0.00003544195,0.0001837508,0.00004863628,0.0001437555,0.000155717,0.006876227,0.0001654013,0.0001276,0.00004991057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007058054,"about_ca_system_score_gemma":0.0002295421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001451869,"about_ca_topic_score_gemma":0.000006471541,"domain_scores_codex":[0.9987086,0.00001153505,0.0003365215,0.0002472919,0.0004941773,0.0002018652],"domain_scores_gemma":[0.9983745,0.0000861893,0.0005069926,0.0001443858,0.0008359178,0.00005198839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001291839,0.0000148519,0.00002419683,0.0002162873,0.00002508981,7.48521e-7,0.001510313,0.0000122741,0.00007977057,0.3365977,0.0002704099,0.6612354],"study_design_scores_gemma":[0.005355729,0.003872141,0.0166688,0.02194317,0.0005852034,0.0002776395,0.01266308,0.6864601,0.02188189,0.04037862,0.1821246,0.007789032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004740543,0.00001136473,0.6745158,0.00002712386,0.00003307958,0.000343966,0.00003244582,0.00008019639,0.324482],"genre_scores_gemma":[0.9742711,0.00002779309,0.003548582,0.0002375518,0.00005857136,0.00003867736,0.001065602,0.00001471538,0.02073745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.973797,"threshold_uncertainty_score":0.749314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129026167846388,"score_gpt":0.2568113549079695,"score_spread":0.2155210932295056,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}